Abstract: The present disclosure provides an adjoint automatic monitoring device and method for a deposition rate of salt mist. The adjoint automatic monitoring device includes: a wet candle method-based salt mist deposition rate acquisition unit, a single chip, a digital-to-analog (D/A) conversion circuit, and a data acquisition module. According to the present disclosure, a current value and a height variation of a solution in a trapping pool of the wet candle method-based salt mist deposition rate acquisition unit are acquired by the data acquisition module, and then the deposition rate of salt mist is calculated by the single chip. Real-time online monitoring of the deposition rate of salt mist is realized.

Abstract: A pre-scanning determining method and apparatus, and a magnetic resonance imaging system. The method includes: scanning, after each magnetic resonance (MR) imaging scan ends and before a next MR imaging scan begins, an imaging target by using a pre-scanning determining sequence, and collecting a corresponding MR dataset according to a preset position and a preset quantity of a K-space line that needs to be collected; calculating, according to an MR dataset collected this time and an MR dataset collected last time by using the pre-scanning determining sequence, consistency between the two MR datasets; and determining, according to the consistency between the two MR datasets, whether pre-scanning needs to be performed before a next MR imaging scan begins.

Abstract: A three-dimensional (3D) printing build material composition includes polyamide-12 particles, solid glass beads, and glass fibers having an average aspect ratio ranging from about 12:1 to about 20:1 and an average length ranging from about 200 pm to less than 300 pm. The polyamide-12 particles are present in an amount of at least 55 wt % based on a total weight of the build material composition. The solid glass beads are present in an amount ranging from about 5 wt % to less than 15 wt % based on the total weight of the build material composition. The glass fibers are present in an amount ranging from about 15 wt % to about 25 wt % based on the total weight of the build material composition.

Abstract: A synchronization optimization method for EtherCAT master slaves is provided. By capturing a time when a master sends a data frame, a time when receives, and a time when a reference slave receives the data frame, a transmission delay is calculated. A compensated transmission delay is obtained. A time taken for a data frame to leave a parent port and return to the same parent port, a transmission delay, a clock offset, and a clock drift are calculated. The clock drift is compensated. A new clock offset is obtained by subtracting the compensated clock drift from the clock offset and written into the non-reference slave for compensation to complete a synchronization optimization. The present application reduces the clock drift and enables the master to compensate for the clock drift of each slave more rapidly.

Abstract: A system comprising: a liquid ring pump; a separator coupled to an exhaust outlet of the liquid ring pump; a valve module, the valve module being coupled to the separator via a first drainage line and coupled to the liquid ring pump via a second drainage line, the valve module comprising a first valve arranged along the first drainage line and a second valve arranged along the second drainage line; and a controller configured to control the valves.

Abstract: The Intelligent Information Conversion System (IICS) facilitates real-time dynamic information exchange among connected and automated vehicle (CAV), roadside intelligent unit (RIU), and cloud platform. The system comprises a codebook, coding module, connector module, and supporting system. The codebook provides a standardized format for information exchange, using a sequence of integers corresponding to various categories such as vehicle automation level, vehicle type, and road category. The coding module encodes and decodes information to enable seamless communication among CAV, RIU, and cloud platform, optimizing data transmission and service levels for autonomous driving. The system supports sorting, encoding, and decoding information into a codebook string, improving real-time interaction and information flow across connected environments. It enhances vehicle automation and supports dynamic, context sensitive data exchanges between different entities in the autonomous ecosystem.

Abstract: Provided are a circulating water control method and system, a computer-readable storage medium, and an air conditioner. A first water delivery assembly of a water delivery device of the air conditioner is in communication with an indoor drain pan and a spray device, and a second water delivery assembly is in communication with an outdoor drain pan and a space where an indoor heat exchanger is located. The method includes: determining an operating mode of the air conditioner and obtaining water level information of the indoor drain pan and water level information of the outdoor drain pan; and controlling the first and second water delivery assemblies based on the operating mode, the water level information of the indoor drain pan, and the water level information of the outdoor drain pan, to circulate condensate water generated by the air conditioner between an indoor unit and an outdoor unit.

Abstract: In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a processor and memory storing executable instructions that when executed cause the processor to receive an image of a polymer melt pool captured during crystallization of the polymer melt pool. The instructions also cause the processor to measure brightness of the polymer melt pool in the captured image. The instructions further cause the processor to determine crystallization information of the polymer melt pool based on the measured brightness of the polymer melt pool.

Abstract: The present disclosure provides a distance measuring device and a sweeping robot. The distance measuring device includes a base, a baffle, a drive assembly, a ranging component, and a driving component. The baffle is arranged over the base, and may prevent foreign matters over the baffle from intruding into the drive assembly. The baffle may be a portion extended upwards from the base, or may be arranged over the base in a mounting manner. The drive assembly may transmit power of the driving component to the ranging component. The driving component and the ranging component are mounted on the base. The baffle is arranged over the base, and defines a closed or a semi-closed mounting chamber with the base to block foreign matters from intruding into the drive assembly.

Abstract: Embodiments include technologies that use machine learning to control mobile machines as well as to adjust settings of mobile machines in real time (e.g., agricultural machine settings, construction machine settings, forestry machine settings, or landscaping machine settings). Some embodiments include a method that includes using a mobile machine to perform work in a field using first machine settings and recording performance information. The performance information indicating a performance of the mobile machine while performing the work in the field. Also, the method includes using a computing system to input the performance information into a trained deep learning model and to receive new machine settings information from the trained model, and using the computing system to control the machine according to the new settings information.

Abstract: Embodiments include technologies that use machine learning to update a route plan to re-route a mobile machine in a field. In some examples, a method includes using a mobile machine to perform work in a field and recording travelled path information. The recorded path information includes information about one or more paths followed by the machine when performing the work in the field. The method also includes using one or more computing devices on the machine to input the path information into a trained deep learning model and to receive new machine travel paths from the trained model. Also, the method includes using the computing device(s) on the mobile machine to control the machine to follow the new travel paths generated by the trained model.

Abstract: Embodiments include technologies that use machine learning to enhance machine settings (e.g., agricultural machine settings, construction machine settings, forestry machine settings, or landscaping machine settings). Some embodiments include a method that includes using machine learning to generate or update machine settings. In some examples, the method includes receiving, by a computing system, initial settings information, the initial settings information including settings used by or to be used by one or more mobile machines performing one or more tasks. The mobile machine(s) can include machines for farming, construction, forestry, or landscaping. In such examples, the method also includes training, by the computing system, a deep learning model using the settings information. Also, in such examples, the method includes using, by the computing system, the trained model to generate new settings information for a given task.

Abstract: Embodiments include technologies that use machine learning to plan a route. Some embodiments include a method that includes using machine learning to generate or update a route plan. In some examples, the method includes receiving, by a computing system, initial routing information, the initial routing information defining routes followed by or to be followed by one or more mobile machines in one or more fields. In such examples, the method also includes training, by the computing system, a deep learning model using the initial routing information. Also, in such examples, the method includes using, by the computing system, the trained model to generate new routing information for a given field.

Abstract: Provided are a data processing system and method based on dynamic redundancy heterogeneous encoding, and a device. The method comprises: respectively performing error correction encoding on information to be processed and a processing rule, so as to form encoded information to be processed and an encoded processing rule; processing, by using the encoded processing rule, the encoded information to be processed, so as to obtain response data; and then performing error correction decoding on N pieces of response data, so as to obtain processing result information of the information to be processed.

Abstract: Systems and methods are provided for planning an agricultural operation for an agricultural machine in a working environment. This Includes determining a boundary for the working environment; determining a plurality of boundary segments for the boundary; and determining, for each of the boundary segments, a candidate operational path. A performance metric associated with the determined operational path for the boundary segment is used to select a primary boundary segment which is optimized for a given metric of the operation. Operational components associated with the agricultural machine can then be controlled based on the determined operational path, e.g. to guide the machine along the path or present the path to an operator.

Abstract: The present disclosure provides a distance measuring device and a sweeping robot. The distance measuring device includes a base, a baffle, a drive assembly, a ranging component, and a driving component. The baffle is arranged over the base, and may prevent foreign matters over the baffle from intruding into the drive assembly. The baffle may be a portion extended upwards from the base, or may be arranged over the base in a mounting manner. The drive assembly may transmit power of the driving component to the ranging component. The driving component and the ranging component are mounted on the base. The baffle is arranged over the base, and defines a closed or a semi-closed mounting chamber with the base to block foreign matters from intruding into the drive assembly.

Abstract: The present application provides a display panel and a display device, including a first planarization layer, a second planarization layer, a first pixel definition layer, a second pixel definition layer, a first support column, a second support column, a first dam structure, and a second dam structure. The first dam structure is located in the first dam area, including a first planarization layer, a second planarization layer, a first pixel definition layer and a first support column. The second dam structure is located in the second dam area, including a second planarization layer, the second pixel definition layer and the second support column.

Abstract: An electrical control board includes a substrate including first to fourth mounting areas, and having first and second side edges in a length direction. The first and second mounting areas are adjacent to the first side edge and arranged in sequence in a width direction. The third and fourth mounting areas are adjacent to the second side edge and arranged in sequence in the width direction. The electrical control board further includes a main control chip circuit in the first mounting area, an active PFC control circuit and a frequency conversion control circuit in the second mounting area, a power input circuit in the third mounting area, and a function interface circuit in the fourth mounting area. The power input, active PFC control, frequency conversion control, and function interface circuits are sequentially connected. The frequency conversion control and function interface circuits are connected to the main control chip circuit.

Abstract: Methods and systems are provided for planning an agricultural operation in a working environment. Both a boundary for the working environment and one or more characteristics of at least one obstacle within the working environment are determined. Using this, an operational path for an agricultural machine is determined in dependence on the boundary for the working environment and the characteristic(s) of the obstacle(s). One or more operational components associated with the agricultural machine are then controlled in dependence on the determined operational path.

Abstract: Provided herein is technology relating to automated driving and particularly, but not exclusively, to an intelligent information conversion system and related methods for providing collaborative automatic driving to intelligent transportation systems, vehicle networking systems, collaborative management control systems, vehicle-road collaborative systems, automated driving systems, and the like.